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A Novel Reinforcement Learning-Based Behavior Pattern Analytics Model for Action and Learning-Plan Recommendation in Children

2024 International Conference on Data Science and Network Security (ICDSNS), 2024, p.1-6

2024

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A Model-Free Deep Reinforcement Learning Approach to Piano Fingering Generation

2024 IEEE Conference on Artificial Intelligence (CAI), 2024, p.31-37

2024

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AdaAug: An Adaptive Data Augmentation Method for Change Detection

2024 IEEE Conference on Artificial Intelligence (CAI), 2024, p.96-101

2024

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Interactive Recommender System: Causality-based Popularity Bias and Popularity Drift

2024 4th International Conference on Computer Communication and Artificial Intelligence (CCAI), 2024, p.363-368

2024

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Area Coverage Maximization of Multi UAVs Using Multi-Agent Reinforcement Learning

2023 3rd International Conference on Robotics, Automation and Artificial Intelligence (RAAI), 2023, p.1-4

2023

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Cooperative Target Pursuit by Multiple Fixed-wing UAVs Based on Deep Reinforcement Learning and Artificial Potential Field

2023 42nd Chinese Control Conference (CCC), 2023, p.5693-5698

2023

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Comparative Analysis on Machine Learning Models for Image Captions Generation

2023 4th International Conference on Smart Electronics and Communication (ICOSEC), 2023, p.1011-1017

2023

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Cooperative Jamming for Physical Layer Security Enhancement Using Deep Reinforcement Learning

2023 IEEE Globecom Workshops (GC Wkshps), 2023, p.1838-1843

2023

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IRL-PM: An Inverse Reinforcement Learning-based Power Minimization in Multi-User MISO Networks

2023 8th International Conference on Computer and Communication Systems (ICCCS), 2023, p.332-336

2023

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Learning Diverse Control Strategies for Simulated Humanoid Combat via Motion Imitation and Multi-Agent Self-Play

2023 42nd Chinese Control Conference (CCC), 2023, p.5595-5600

2023

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A survey and comparative evaluation of actor‐critic methods in process control

Canadian journal of chemical engineering, 2022-09, Vol.100 (9), p.2028-2056

2022

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Target-driven obstacle avoidance algorithm based on DDPG for connected autonomous vehicles

EURASIP journal on advances in signal processing, 2022-07, Vol.2022 (1), p.1-22, Article 61

2022

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Supervisory control of the hybrid off-highway vehicle for fuel economy improvement using predictive double Q-learning with backup models

Journal of Central South University, 2022-07, Vol.29 (7), p.2266-2278

2022

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Special Issue on Emerging Topics on Development and Learning

IEEE transactions on cognitive and developmental systems, 2022-06, Vol.14 (2), p.255-257

2022

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Conditional DQN-Based Motion Planning With Fuzzy Logic for Autonomous Driving

IEEE transactions on intelligent transportation systems, 2022-04, Vol.23 (4), p.2966-2977

2022

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Unified Intrinsically Motivated Exploration for Off-Policy Learning in Continuous Action Spaces

2022 30th Signal Processing and Communications Applications Conference (SIU), 2022, p.1-4

2022

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Multi-robot Cooperative Pursuit via Potential Field-Enhanced Reinforcement Learning

2022 International Conference on Robotics and Automation (ICRA), 2022, p.8808-8814

2022

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Group Sharing Risk Avoidance Method Based on Fuzzy Reinforcement Learning Strategy

2022 4th International Conference on Natural Language Processing (ICNLP), 2022, p.460-465

2022

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Adversarial Imitation Learning from Video Using a State Observer

2022 International Conference on Robotics and Automation (ICRA), 2022, p.2452-2458

2022

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Test and Evaluation of Reinforcement Learning via Robustness Testing and Explainable AI for High-Speed Aerospace Vehicles

2022 IEEE Aerospace Conference (AERO), 2022, p.1-14

2022

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Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning

2022 International Conference on Robotics and Automation (ICRA), 2022, p.5511-5517

2022

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An Intrinsic Motivation Based Artificial Goal Generation in On-Policy Continuous Control

2022 30th Signal Processing and Communications Applications Conference (SIU), 2022, p.1-4

2022

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Informed Sampling of Prioritized Experience Replay

2022 IEEE International Conference on Development and Learning (ICDL), 2022, p.215-222

2022

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Using Learning to Control Artificial Avatars in Human Motor Coordination Tasks

IEEE transactions on robotics, 2021-12, Vol.37 (6), p.2067-2082

2021

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Enhanced DQN Framework for Selecting Actions and Updating Replay Memory Considering Massive Non-Executable Actions

Applied sciences, 2021-12, Vol.11 (23), p.11162

2021

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A Novel Reinforcement Learning-Based Behavior Pattern Analytics Model for Action and Learning-Plan Recommendation in Children

A Model-Free Deep Reinforcement Learning Approach to Piano Fingering Generation

AdaAug: An Adaptive Data Augmentation Method for Change Detection

Interactive Recommender System: Causality-based Popularity Bias and Popularity Drift

Area Coverage Maximization of Multi UAVs Using Multi-Agent Reinforcement Learning

Cooperative Target Pursuit by Multiple Fixed-wing UAVs Based on Deep Reinforcement Learning and Artificial Potential Field

Comparative Analysis on Machine Learning Models for Image Captions Generation

Cooperative Jamming for Physical Layer Security Enhancement Using Deep Reinforcement Learning

IRL-PM: An Inverse Reinforcement Learning-based Power Minimization in Multi-User MISO Networks

Learning Diverse Control Strategies for Simulated Humanoid Combat via Motion Imitation and Multi-Agent Self-Play

A survey and comparative evaluation of actor‐critic methods in process control

Target-driven obstacle avoidance algorithm based on DDPG for connected autonomous vehicles

Supervisory control of the hybrid off-highway vehicle for fuel economy improvement using predictive double Q-learning with backup models

Special Issue on Emerging Topics on Development and Learning

Conditional DQN-Based Motion Planning With Fuzzy Logic for Autonomous Driving

Unified Intrinsically Motivated Exploration for Off-Policy Learning in Continuous Action Spaces

Multi-robot Cooperative Pursuit via Potential Field-Enhanced Reinforcement Learning

Group Sharing Risk Avoidance Method Based on Fuzzy Reinforcement Learning Strategy

Adversarial Imitation Learning from Video Using a State Observer

Test and Evaluation of Reinforcement Learning via Robustness Testing and Explainable AI for High-Speed Aerospace Vehicles

Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning

An Intrinsic Motivation Based Artificial Goal Generation in On-Policy Continuous Control

Informed Sampling of Prioritized Experience Replay

Using Learning to Control Artificial Avatars in Human Motor Coordination Tasks

Enhanced DQN Framework for Selecting Actions and Updating Replay Memory Considering Massive Non-Executable Actions

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